International Soil and Water Conservation Research · 2022 · 22 citations · 45 references
AgricultureAgronomySoil SciencesNutrient ManagementSoil FertilitySoil ManagementFertilizer ManagementNitrogen ManagementNutrient BalanceNutrient BudgetingNutrient LossesWater Balance ModelingAgricultural Nutrient LossesFertilizer Application RatesField-scale Nutrient Loss AssessmentField-scale Nutrient LossesNutrient Loss EstimationNutrient Surplus AssessmentPollution Source InventorySimulation Of Fertilizer Effects
Investigating the impact of apple-dominated areas on nitrogen (N) and phosphorus (P) losses at a basin scale was essential for the sustainable development of apple industry in China. This study conducted a survey on fertilizer application and built a Soil and Water Assessment Tool (SWAT) model to quantitatively analyze the N and P losses in the Qixia apple-dominated area. Additionally, the decreases in N and P losses through adjusting the fertilizer application modes were evaluated. Results showed that average N and P losses in the Wulong River Basin (WRB) were 44.4 and 0.365 kg ha−1 in 2011–2017, respectively, and apple orchards accounted for 73.3% and 51.4% of the total N and P losses in the basin. Under nine fertilizer scheduling scenarios, three fertilizer schedule scenarios, automatic fertilizer application (S-AUTO), “one shot” mode (S1), and regulated fertilizer application (S-BSD), had the lowest N and P losses in apple orchards. The decreases in N loss ranged from 20.6% to 26.1% at the subbasin scale and 14.8%–30.7% at the basin outlet when applying the S-AUTO, S1, and S-BSD fertilizer application modes in Qixia apple orchards and all apple orchards in the WRB. The reductions in P loss varied from 22.0% to 46.1% at the subbasin scale and 14.6%–25.6% at the basin outlet. In orchard-dominated basin, N and P losses can be effectively reduced by optimizing the orchard fertilizer scheduling strategies.
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Soil and Water Assessment Tool Theoretical Documentation Version 2009
S.L. Neitsch, J. G. Arnold, James R. Kiniry et al. · OakTrust (Texas A&M University Libraries) · 2011 · 4.1K citations · Full text
SWAT: Model Use, Calibration, and Validation
Jeffrey G. Arnold, Daniel N. Moriasi, Philip W. Gassman et al. · Transactions of the ASABE · 2012 · 3.4K citations · Full text